Member of Technical Staff, Post-Training

The role

This person will advance the state of the art for model post training and bridge the gap between research and production. They will design scalable software for training models and implement techniques to improve training cycles.

What you will do

• Design and write high-performant and scalable software for training models.
• Consistently post-train the models to reach SOTA level performance.
• Coordinate with other specialist teams to produce models that have strong all encompassing performance.
• Craft and implement techniques to improve the performance and results of training cycles on the SFT and the RL regime.
• Research, implement, and experiment with ideas on supercompute and data infrastructure.
• Learn from and work with researchers in the field.
• Contribute to writing production code and supporting research effort.

Required qualifications

• Extremely strong software engineering skills.
• Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
• Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray).
• Experience using large-scale distributed training strategies.
• Hands on experience on training large model at scale.
• Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation.

Nice to have

• paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)

Benefits

• Weekly lunch stipend of $75/£75 or equivalent in local currency.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401K, Pension Scheme.
• 100% Parental Leave top-up for up to 6 months, for either parent.
• Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
• Education & learning stipend for conferences, courses, and coaching.
• 6 weeks of paid vacation (30 working days!).
• Budget for traveling to other offices if you are remote, plus an annual company offsite.
• Daily lunch program, snacks, and regular community and social events for those in the office.
• Co-working benefit for those not near an office.
• $500 home office stipend.

About the company

Cohere is a security-first enterprise AI company that builds foundation AI models and end-to-end products. It is a global technology company headquartered in Toronto.